{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Quantization-aware Training (QAT) for Object Detection with Model Garden\n",
        "\n",
        "This tutorial demonstrates how to apply [quantization-aware training (QAT)](https://github.com/tensorflow/models/tree/master/official/projects/qat/vision) from a pre-trained checkpoint, export the checkpoint to a TFLite and run inference on an image, for object detection task, using [Tensorflow Model Garden](https://github.com/tensorflow/models/tree/master/official) library.\n",
        "\n",
        "Tensorflow Model Garden contains a collection of\n",
        "state-of-the-art models, implemented with TensorFlow's high-level APIs. The\n",
        "implementations demonstrate the best practices for modeling, letting users to\n",
        "take full advantage of TensorFlow for their research and product development.\n",
        "\n",
        "In this tutorial, we will use MobileNetV2 backbone with RetinaNet framework as an example to walk you through the process of applying QAT. This assumes you have already trained a model using Tensorflow Model Garden."
      ],
      "metadata": {
        "id": "cfjBLLxVb61A"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Install Necessary Dependencies"
      ],
      "metadata": {
        "id": "hmslpkDEcPk9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -U tf-models-nightly"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "86HlYwGVWJ1s",
        "outputId": "6872225b-eefd-4ef0-c59e-02c818d73923"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Building wheels for collected packages: seqeval\n",
            "  Building wheel for seqeval (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "  Stored in directory: /root/.cache/pip/wheels/ad/5c/ba/05fa33fa5855777b7d686e843ec07452f22a66a138e290e732\n",
            "Successfully built seqeval\n",
            "Installing collected packages: tf-estimator-nightly, tb-nightly, portalocker, keras-nightly, flatbuffers, colorama, tf-slim, tf-nightly, tensorflow-text-nightly, tensorflow-model-optimization, tensorflow-addons, seqeval, sentencepiece, sacrebleu, pyyaml, py-cpuinfo, immutabledict, tf-models-nightly\n",
            "  Attempting uninstall: flatbuffers\n",
            "    Found existing installation: flatbuffers 1.12\n",
            "    Uninstalling flatbuffers-1.12:\n",
            "      Successfully uninstalled flatbuffers-1.12\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 6.0\n",
            "    Uninstalling PyYAML-6.0:\n",
            "      Successfully uninstalled PyYAML-6.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.9.2 requires flatbuffers<2,>=1.12, but you have flatbuffers 22.12.6 which is incompatible.\u001b[0m\n",
            "Successfully installed colorama-0.4.6 flatbuffers-22.12.6 immutabledict-2.2.3 keras-nightly-2.12.0.dev2022122108 portalocker-2.6.0 py-cpuinfo-9.0.0 pyyaml-5.4.1 sacrebleu-2.3.1 sentencepiece-0.1.97 seqeval-1.2.2 tb-nightly-2.12.0a20221220 tensorflow-addons-0.19.0 tensorflow-model-optimization-0.7.3 tensorflow-text-nightly-2.12.0.dev20221221 tf-estimator-nightly-2.12.0.dev2022122109 tf-models-nightly-2.11.0.dev20221221 tf-nightly-2.12.0.dev20221221 tf-slim-1.1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import libraries"
      ],
      "metadata": {
        "id": "WjAMpVVAcTYh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.patches as patches\n",
        "from PIL import Image\n",
        "\n",
        "from six import BytesIO\n",
        "from IPython import display\n",
        "from urllib.request import urlopen\n",
        "\n",
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "\n",
        "import absl.logging\n",
        "absl.logging.set_verbosity(absl.logging.ERROR)\n",
        "tf.get_logger().setLevel(absl.logging.ERROR)"
      ],
      "metadata": {
        "id": "T0JMx3hmcXL5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Download Pretrained Model\n",
        "The model uses the implementation from the TensorFlow Model Garden GitHub repository, and achieves 23.3 mAP on COCO validation set. It uses a MobileNetV2 backbone and RetinaNet decoder on a 256x256 input image."
      ],
      "metadata": {
        "id": "7MOWG8h5eEh6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! curl https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i256_ckpt.tar.gz --output model.tar.gz"
      ],
      "metadata": {
        "id": "WvTrNdt7sjh4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bdcfb3c6-163d-41e6-fa27-ef50955a1b3d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100 18.8M  100 18.8M    0     0  32.4M      0 --:--:-- --:--:-- --:--:-- 32.4M\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract pretrained checkpoint.\n",
        "! tar -xvzf model.tar.gz"
      ],
      "metadata": {
        "id": "VEJf6ZTcsREl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ae0a4187-62e9-4edc-e8b0-c256ece73279"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mobilenetv2_ssd_i256_ckpt/\n",
            "mobilenetv2_ssd_i256_ckpt/ckpt-277200.index\n",
            "mobilenetv2_ssd_i256_ckpt/ckpt-277200.data-00000-of-00001\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Launch QAT Training\n",
        "\n",
        "You can follow the [training guideline](https://github.com/tensorflow/models/tree/master/official/projects/qat/vision#training) to start QAT training using the pretrained checkpoint."
      ],
      "metadata": {
        "id": "xwD9Rd5EebNC"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Export Model\n",
        "\n",
        "After QAT training completes, we can export a SavedModel and convert it to a TFLite model. For demonstration purpose only, we download a QAT trained model checkpoint and work on it."
      ],
      "metadata": {
        "id": "n9cro-ivfo92"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! curl https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i256_qat_ckpt.tar.gz --output model_qat.tar.gz\n",
        "! tar -xvzf model_qat.tar.gz"
      ],
      "metadata": {
        "id": "h2a4fgXkfn1m",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "31a295c0-40fa-4315-84f5-0bdbc983beba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100 9822k  100 9822k    0     0  27.0M      0 --:--:-- --:--:-- --:--:-- 27.0M\n",
            "mobilenetv2_ssd_i256_qat_ckpt/\n",
            "mobilenetv2_ssd_i256_qat_ckpt/ckpt-1.data-00000-of-00001\n",
            "mobilenetv2_ssd_i256_qat_ckpt/checkpoint\n",
            "mobilenetv2_ssd_i256_qat_ckpt/ckpt-1.index\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! curl https://raw.githubusercontent.com/tensorflow/models/master/official/projects/qat/vision/configs/experiments/retinanet/coco_mobilenetv2_qat_tpu_e2e.yaml --output params.yaml"
      ],
      "metadata": {
        "id": "8IlqYeivly68",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ba101be5-db20-4b9b-f4da-08059b988054"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100  1836  100  1836    0     0   8784      0 --:--:-- --:--:-- --:--:--  8784\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Model export and convert.\n",
        "# First export a SavedModel. Make sure batch_size=1 and input_type=tflite.\n",
        "! python3 /usr/local/lib/python3.8/dist-packages/official/projects/qat/vision/serving/export_saved_model.py --experiment=retinanet_mobile_coco_qat --export_dir=${PWD}/mobilenetv2_ssd_i256_qat_savedmodel --checkpoint_path=${PWD}/mobilenetv2_ssd_i256_qat_ckpt --batch_size=1 --input_type=tflite --input_image_size=256,256 --config_file=${PWD}/params.yaml --params_override=\"task.quantization.pretrained_original_checkpoint='${PWD}/mobilenetv2_ssd_i256_ckpt/ckpt-277200'\"\n",
        "\n",
        "# Convert the SavedModel to TFLite\n",
        "! python3 /usr/local/lib/python3.8/dist-packages/official/projects/qat/vision/serving/export_tflite.py --experiment=retinanet_mobile_coco_qat --saved_model_dir=${PWD}/mobilenetv2_ssd_i256_qat_savedmodel/saved_model --tflite_path=${PWD}/mobilenetv2_ssd_i256_qat_tflite --config_file=${PWD}/params.yaml --quant_type=qat"
      ],
      "metadata": {
        "id": "ez_0U9XxhCXp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "75b6f602-1654-4446-9edd-aa993bc057d7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2022-12-21 18:12:44.763114: E tensorflow/tsl/lib/monitoring/collection_registry.cc:81] Cannot register 2 metrics with the same name: /tensorflow/core/bfc_allocator_delay\n",
            "2022-12-21 18:12:45.870254: W tensorflow/tsl/platform/default/dso_loader.cc:66] Could not load dynamic library 'libnvinfer.so.8'; dlerror: libnvinfer.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2022-12-21 18:12:45.870397: W tensorflow/tsl/platform/default/dso_loader.cc:66] Could not load dynamic library 'libnvinfer_plugin.so.8'; dlerror: libnvinfer_plugin.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2022-12-21 18:12:45.870421: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n",
            "/usr/local/lib/python3.8/dist-packages/tensorflow_addons/utils/ensure_tf_install.py:37: UserWarning: You are currently using a nightly version of TensorFlow (2.12.0-dev20221221). \n",
            "TensorFlow Addons offers no support for the nightly versions of TensorFlow. Some things might work, some other might not. \n",
            "If you encounter a bug, do not file an issue on GitHub.\n",
            "  warnings.warn(\n",
            "2022-12-21 18:12:48.949468: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:267] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
            "I1221 18:12:48.975446 140428941322112 export_module.py:55] Set `nms_version` to `tflite` because only TFLite NMS is supported for QAT detection models.\n",
            "I1221 18:12:48.984446 140428941322112 nn_layers.py:73] round_filter input=32 output=32\n",
            "I1221 18:12:48.984663 140428941322112 nn_layers.py:73] round_filter input=16 output=16\n",
            "I1221 18:12:48.984754 140428941322112 nn_layers.py:73] round_filter input=24 output=24\n",
            "I1221 18:12:48.984833 140428941322112 nn_layers.py:73] round_filter input=24 output=24\n",
            "I1221 18:12:48.984907 140428941322112 nn_layers.py:73] round_filter input=32 output=32\n",
            "I1221 18:12:48.984983 140428941322112 nn_layers.py:73] round_filter input=32 output=32\n",
            "I1221 18:12:48.985080 140428941322112 nn_layers.py:73] round_filter input=32 output=32\n",
            "I1221 18:12:48.985161 140428941322112 nn_layers.py:73] round_filter input=64 output=64\n",
            "I1221 18:12:48.985234 140428941322112 nn_layers.py:73] round_filter input=64 output=64\n",
            "I1221 18:12:48.985307 140428941322112 nn_layers.py:73] round_filter input=64 output=64\n",
            "I1221 18:12:48.985380 140428941322112 nn_layers.py:73] round_filter input=64 output=64\n",
            "I1221 18:12:48.985452 140428941322112 nn_layers.py:73] round_filter input=96 output=96\n",
            "I1221 18:12:48.985523 140428941322112 nn_layers.py:73] round_filter input=96 output=96\n",
            "I1221 18:12:48.985596 140428941322112 nn_layers.py:73] round_filter input=96 output=96\n",
            "I1221 18:12:48.985671 140428941322112 nn_layers.py:73] round_filter input=160 output=160\n",
            "I1221 18:12:48.985743 140428941322112 nn_layers.py:73] round_filter input=160 output=160\n",
            "I1221 18:12:48.985818 140428941322112 nn_layers.py:73] round_filter input=160 output=160\n",
            "I1221 18:12:48.985891 140428941322112 nn_layers.py:73] round_filter input=320 output=320\n",
            "I1221 18:12:48.985962 140428941322112 nn_layers.py:73] round_filter input=1280 output=1280\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:48.995921 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.129718 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.133578 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.391274 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.394566 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.398295 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.493044 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.496581 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.499755 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.600895 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.603896 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.607452 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.907559 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.911341 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:49.914487 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.012121 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.015271 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.018665 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.102202 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.105965 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.109401 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.206521 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.209712 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.213917 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.314715 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.317814 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.320856 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.409135 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.412137 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.415633 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.498831 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.501913 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.504915 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.585606 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.589559 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.593839 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.699263 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.702293 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.705178 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.791925 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.798440 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.801911 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.901241 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.905492 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:50.909714 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.023372 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.026516 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.030344 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.121911 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.126329 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.130333 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:51.226366 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "I1221 18:12:52.052204 140428941322112 fpn.py:113] FPN input_specs: {'2': TensorShape([None, 64, 64, 24]), '3': TensorShape([None, 32, 32, 32]), '4': TensorShape([None, 16, 16, 96]), '5': TensorShape([None, 8, 8, 320])}\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.238768 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.255487 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.273425 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.294029 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.312827 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py:639: UserWarning: Input dict contained keys ['6'] which did not match any model input. They will be ignored by the model.\n",
            "  inputs = self._flatten_to_reference_inputs(inputs)\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.494805 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.497647 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.500221 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.502812 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.504198 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.505835 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.506938 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.508035 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.509414 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.510470 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.511570 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.512733 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.514034 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.515157 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.517510 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.518876 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.520385 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.521717 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.522964 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.524257 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.532784 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.535722 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.539136 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.542675 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.544339 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.545793 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.547256 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.548651 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.550717 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.552119 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.553351 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.554597 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.556050 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.557350 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.558460 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.559547 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.560868 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.562187 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.587617 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:52.589650 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.\n",
            "Instructions for updating:\n",
            "Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089\n",
            "W1221 18:12:52.893411 140428941322112 deprecation.py:364] From /usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.\n",
            "Instructions for updating:\n",
            "Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.740771 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.774617 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.779552 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.836686 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.839742 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.843206 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.910278 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.913603 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.916628 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.986388 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.989350 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:55.992302 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.074421 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.077560 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.081003 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.162846 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.166671 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.169923 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.249732 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.253354 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.256552 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.337864 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.342231 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.345453 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.418314 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.421329 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.424687 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.497306 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.500809 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.503766 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.590878 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.594089 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.597266 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.680670 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.683774 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.686938 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.768160 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.771155 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.774649 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.867106 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.870980 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.874137 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.969863 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.973033 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:56.976126 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.070321 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.073601 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.078219 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.176870 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.184587 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.187711 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:57.273781 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:58.401833 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:12:58.407577 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.389935 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.394536 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.399035 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.570006 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.574292 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.578619 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.767030 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.771076 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.781522 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.958673 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.962962 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:00.967329 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.147796 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.152103 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.156511 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.325911 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.330133 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.334604 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.495894 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.500783 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.505789 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.686200 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.690671 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.695453 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.876759 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.881086 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:01.885523 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.079122 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.083544 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.087835 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.244486 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.249272 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.253500 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.432092 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.436747 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.441804 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.642753 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.652113 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.661883 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.842828 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.848103 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:02.852962 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.060823 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.065197 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.069736 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.252587 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.256874 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.261666 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.430074 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:03.567693 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.018400 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.078130 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.082708 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.187595 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.192500 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.196663 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.354555 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.359011 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.363258 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.539405 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.543802 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.548494 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.699594 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.703820 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.709585 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.884591 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.889714 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:04.894985 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.071151 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.075779 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.080574 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.238726 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.243139 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.247942 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.447090 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.453935 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.458965 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.665561 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.670214 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.677138 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.858140 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.864031 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:05.869343 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.036916 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.042925 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.049704 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.232244 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.238185 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.244055 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.451255 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.457202 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.462138 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.627806 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.632334 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.636740 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.825390 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.829787 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:06.834579 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:07.310726 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:07.315327 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:07.319634 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:07.503761 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.263352 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.267443 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.270847 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.273896 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.279514 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.885777 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.888006 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.916746 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.920492 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:10.924909 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:12.329041 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:12.331942 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:12.334774 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:12.337657 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:12.340547 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.266652 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.270228 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.273658 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.276334 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.278174 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.279712 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.281238 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.282753 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.284448 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.286583 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.288877 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.290829 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.292556 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.294855 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.296359 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.297827 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.299448 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.301113 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.302600 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.304022 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.308149 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.310338 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.312530 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.317194 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.318946 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.320610 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.322926 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.324409 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.325994 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.327439 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.328929 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.330470 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.332253 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.333715 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.335189 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.336761 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.338433 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.339956 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.341529 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "WARNING:tensorflow:`tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "W1221 18:13:14.343154 140428941322112 batch_normalization.py:1426] `tf.keras.layers.experimental.SyncBatchNormalization` endpoint is deprecated and will be removed in a future release. Please use `tf.keras.layers.BatchNormalization` with parameter `synchronized` set to True.\n",
            "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py:639: UserWarning: Input dict contained keys ['6'] which did not match any model input. They will be ignored by the model.\n",
            "  inputs = self._flatten_to_reference_inputs(inputs)\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dd318e0>, because it is not built.\n",
            "W1221 18:13:42.789539 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dd318e0>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dcbdaf0>, because it is not built.\n",
            "W1221 18:13:43.138483 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dcbdaf0>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dccf130>, because it is not built.\n",
            "W1221 18:13:44.155304 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79dccf130>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79db466d0>, because it is not built.\n",
            "W1221 18:13:45.123558 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79db466d0>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79d958190>, because it is not built.\n",
            "W1221 18:13:46.430141 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79d958190>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79d88b730>, because it is not built.\n",
            "W1221 18:13:47.421999 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79d88b730>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79ddba3a0>, because it is not built.\n",
            "W1221 18:13:48.411185 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <tensorflow_model_optimization.python.core.quantization.keras.quantize_wrapper.QuantizeWrapperV2 object at 0x7fb79ddba3a0>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <official.vision.modeling.layers.detection_generator.MultilevelDetectionGenerator object at 0x7fb79e562e80>, because it is not built.\n",
            "W1221 18:14:06.033631 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <official.vision.modeling.layers.detection_generator.MultilevelDetectionGenerator object at 0x7fb79e562e80>, because it is not built.\n",
            "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py:639: UserWarning: Input dict contained keys ['6'] which did not match any model input. They will be ignored by the model.\n",
            "  inputs = self._flatten_to_reference_inputs(inputs)\n",
            "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py:639: UserWarning: Input dict contained keys ['6'] which did not match any model input. They will be ignored by the model.\n",
            "  inputs = self._flatten_to_reference_inputs(inputs)\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dd31c10>, because it is not built.\n",
            "W1221 18:15:39.459379 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dd31c10>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dcbd250>, because it is not built.\n",
            "W1221 18:15:39.488603 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dcbd250>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dccdd30>, because it is not built.\n",
            "W1221 18:15:39.545520 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79dccdd30>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79db46310>, because it is not built.\n",
            "W1221 18:15:39.632600 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79db46310>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79d954d90>, because it is not built.\n",
            "W1221 18:15:39.760443 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79d954d90>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79d88b370>, because it is not built.\n",
            "W1221 18:15:39.858972 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79d88b370>, because it is not built.\n",
            "WARNING:tensorflow:Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79ddbd190>, because it is not built.\n",
            "W1221 18:15:39.961016 140428941322112 save_impl.py:66] Skipping full serialization of Keras layer <keras.layers.merging.add.Add object at 0x7fb79ddbd190>, because it is not built.\n",
            "W1221 18:15:51.893777 140428941322112 save.py:272] Found untraced functions such as inference_from_image_bytes, inference_from_image_tensors, inference_from_tf_example, quant_activation_36_layer_call_fn, quant_activation_36_layer_call_and_return_conditional_losses while saving (showing 5 of 891). These functions will not be directly callable after loading.\n",
            "INFO:tensorflow:Assets written to: /content/mobilenetv2_ssd_i256_qat_savedmodel/saved_model/assets\n",
            "I1221 18:16:40.766796 140428941322112 builder_impl.py:797] Assets written to: /content/mobilenetv2_ssd_i256_qat_savedmodel/saved_model/assets\n",
            "I1221 18:16:47.671683 140428941322112 train_utils.py:371] Saving experiment configuration to /content/mobilenetv2_ssd_i256_qat_savedmodel/params.yaml\n",
            "2022-12-21 18:16:55.190074: E tensorflow/tsl/lib/monitoring/collection_registry.cc:81] Cannot register 2 metrics with the same name: /tensorflow/core/bfc_allocator_delay\n",
            "2022-12-21 18:16:56.394554: W tensorflow/tsl/platform/default/dso_loader.cc:66] Could not load dynamic library 'libnvinfer.so.8'; dlerror: libnvinfer.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2022-12-21 18:16:56.394805: W tensorflow/tsl/platform/default/dso_loader.cc:66] Could not load dynamic library 'libnvinfer_plugin.so.8'; dlerror: libnvinfer_plugin.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n",
            "2022-12-21 18:16:56.394834: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n",
            "/usr/local/lib/python3.8/dist-packages/tensorflow_addons/utils/ensure_tf_install.py:37: UserWarning: You are currently using a nightly version of TensorFlow (2.12.0-dev20221221). \n",
            "TensorFlow Addons offers no support for the nightly versions of TensorFlow. Some things might work, some other might not. \n",
            "If you encounter a bug, do not file an issue on GitHub.\n",
            "  warnings.warn(\n",
            "2022-12-21 18:16:59.562431: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:267] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
            "I1221 18:16:59.582286 140086576433024 export_tflite.py:102] Converting SavedModel from /content/mobilenetv2_ssd_i256_qat_savedmodel/saved_model to TFLite model...\n",
            "W1221 18:17:01.833969 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.861936 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.865788 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.869644 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.873024 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.876166 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.879133 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:01.882937 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.052915 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.058312 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.061555 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.064986 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.068034 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.071142 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.074179 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.077957 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.081155 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.084321 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.114849 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.140550 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.145730 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.150812 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.155328 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.171447 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.184572 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.198348 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.201503 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.204597 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.207746 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.210942 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.214095 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.230438 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.234662 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.238849 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.242617 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.246194 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.259609 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.263310 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.266796 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.270354 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.294215 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.313850 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.323557 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.326894 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.335715 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.339398 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.342511 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.345713 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.349169 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.352294 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.355502 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.358910 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.362264 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.365817 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.369478 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.373200 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.376570 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.381706 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.384860 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.398141 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.401365 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.404412 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.407401 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.410552 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.413597 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.416796 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.420989 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.426159 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.430129 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.433763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.436969 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.440397 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.448548 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.502177 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.505624 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.508775 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.511936 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.515357 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.518662 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.521887 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.525193 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.528397 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.531902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.535319 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.538745 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.548315 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.564213 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.568897 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.572901 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.576473 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.605628 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.608869 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.611902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.614970 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.617921 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.621021 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.623998 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.627149 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.630239 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.643897 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.647306 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.657177 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.670082 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.673666 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.676617 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.680211 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.683294 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.719151 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.722737 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.726030 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.729394 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.732691 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.748246 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.782508 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.786039 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.789324 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.795159 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.798289 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.801659 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.805912 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.810325 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.845919 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.849429 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.852868 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.855949 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.858876 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.861700 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.864760 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.908745 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.912907 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.916320 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.919600 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.935488 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.938981 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.942121 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.945243 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.948584 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.953220 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.957818 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.961713 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.964847 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.968117 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.971222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:03.974279 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.107447 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.110886 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.114997 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.119149 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.147309 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.151013 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.154567 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.159224 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.163697 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.168208 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.173471 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.177752 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.181086 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.202994 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.206389 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.209619 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.212644 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.233421 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.247704 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.251548 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.254912 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.258786 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.262451 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.266170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.269505 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.273328 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.276695 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.279961 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.282993 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.288027 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.291179 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.294162 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.297415 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.322781 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.326290 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.329427 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.332554 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.335563 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.338658 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.341754 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.344726 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.347718 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.350617 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.353471 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.356332 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.359286 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.361908 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.364699 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.375616 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.379907 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.384355 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.404713 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.407927 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.410848 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.413902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.422914 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.432307 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.435856 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.438938 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.442582 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.466192 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.477117 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.480378 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.483490 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.490653 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.506877 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.510191 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.513490 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.526803 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.536736 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.540112 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.543606 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.546913 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.550118 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.553213 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.556227 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.569894 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.573045 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.576130 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.584743 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.596255 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.599708 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.602864 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.605781 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.608765 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.611877 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.620948 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.624305 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.627453 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.630741 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.633754 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.637156 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.640164 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.643054 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.652145 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.660982 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.665268 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.668302 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.688696 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.692344 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.709217 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.712594 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.715839 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.741044 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.745321 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.748711 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.751701 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.755128 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.758254 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.761297 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.764314 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.767467 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.779908 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.783169 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.786270 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.789369 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.793402 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.809949 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.813189 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.816168 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.828976 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.832124 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.847917 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.862906 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.866246 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.869312 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.904531 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.908685 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.912815 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.917125 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.920877 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.925222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.929171 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.933343 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.937471 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.940481 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.943409 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.946587 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.976125 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.979541 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.991085 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:04.995532 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.027043 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.035886 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.039024 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.043981 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.046830 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.050261 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.063824 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.067102 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.070440 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.073659 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.076789 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.080468 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.096276 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.099544 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.103052 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.106530 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.138786 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.142378 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.158682 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.162131 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.165479 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.168768 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.172398 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.176745 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.181904 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.186816 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.194457 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.203829 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.207687 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.213747 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.223487 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.227216 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.230774 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.235475 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.239763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.243802 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.247493 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.253672 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.256967 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.261670 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.266303 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.276698 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.280329 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.283785 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.302742 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.317409 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.320932 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.330446 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.334429 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.338118 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.341509 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.367841 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.371371 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.374648 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.377922 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.381251 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.384517 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.389691 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.403438 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.406856 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.410313 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.416514 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.429830 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.433140 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.436570 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.439809 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.443114 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.446361 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.449738 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.474654 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.744011 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.747428 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.750843 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.754172 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.757675 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.761175 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.764672 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.768120 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.771256 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.797747 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.801266 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.804727 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.819864 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.834294 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.838075 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.842591 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.847512 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:05.851940 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.116385 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.126725 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.131955 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.147536 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.150867 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.154092 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.157359 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.160727 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.163857 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.167242 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.170463 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.191684 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.195420 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.199023 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.203723 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.208950 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.214232 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.219646 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.224884 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.228929 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.233477 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.237176 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.247684 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.251557 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.281649 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.286052 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.290530 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.305075 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.308497 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.311787 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.315222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.319722 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.323191 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.326408 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.329697 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.333119 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.340851 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.343919 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.354887 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.358145 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.361649 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.370978 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.374388 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.377813 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.381133 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.384377 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.397868 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.409268 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.414274 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.419613 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.426602 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.430803 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.434582 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.438274 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.449470 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.452875 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.456176 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.459314 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.487223 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.514169 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.517635 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.521114 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.524713 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.527928 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.541170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.544476 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.547725 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.551100 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.554398 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.557494 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.560993 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.564421 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.568038 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.571249 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.580783 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.584342 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.587789 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.590912 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.594242 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.604251 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.607754 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.611104 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.614663 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.617954 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.621334 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.624505 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.633766 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.637281 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.640666 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.697752 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.701835 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.719791 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.725742 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.746177 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.749778 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.753386 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.757148 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.760676 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.764390 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.791980 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.796098 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.800871 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.816631 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.827705 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.831426 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.848267 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.852104 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.855429 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.858717 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.861981 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.865283 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.868603 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.871844 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.875119 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.878321 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.881863 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.885080 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.888415 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.943252 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.946881 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.950295 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.953680 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.957105 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.960235 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:06.963521 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.000750 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.004267 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.008517 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.011874 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.015257 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.018533 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.021870 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.042692 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.046239 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.049512 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.052748 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.056222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.059809 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.063688 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.100050 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.106213 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.112806 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.117253 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.125887 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.129535 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.133166 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.136979 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.170974 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.192716 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.196619 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.200316 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.203691 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.221095 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.226936 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.258171 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.261868 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.265200 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.278019 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.281431 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.284940 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.290034 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.293513 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.297159 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.301320 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.304610 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.307956 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.311109 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.314416 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.317967 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.340984 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.344346 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.347555 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.420205 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.425553 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.431327 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.435126 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.438396 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.454046 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.457379 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.460873 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.464310 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.467842 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.471678 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.475241 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.699171 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.702976 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.710402 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.713936 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.717756 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.724472 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.765430 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.791969 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.795641 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.799168 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.802536 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.805986 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.809114 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.812291 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.815780 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.819712 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.829185 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.832834 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.836369 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.839878 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.843221 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.865881 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.869240 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.874382 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.877667 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.881077 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.884175 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.887381 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.890818 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.894042 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.898533 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.928145 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.931679 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.935016 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.938378 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.952089 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.955767 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.959110 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.974690 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.980280 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.992444 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:07.997846 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.001766 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.016292 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.056184 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.060419 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.064239 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.067873 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.080268 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.084681 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.099530 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.109639 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.113098 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.116702 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.120901 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.124510 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.127958 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.131857 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.137104 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.147616 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.151750 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.155249 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.159149 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.165153 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.179173 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.184626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.189784 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.237135 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.240974 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.244683 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.249735 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.278170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.288978 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.313314 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.316711 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.356050 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.359699 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.363184 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.366510 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.369985 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.373274 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.376762 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.382484 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.385872 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.389365 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.392619 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.395927 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.399097 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.402358 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.438320 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.442040 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.469902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.473126 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.576879 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.580506 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.583993 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.631122 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.636280 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.641656 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.645222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.648649 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.652125 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.655687 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.658931 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.662459 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.665767 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.669183 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.672621 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.676161 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.679719 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.683626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.688252 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.691667 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.695404 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.714014 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.717648 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.721372 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.731693 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.735987 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.740943 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.744492 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.748081 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.751753 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.761792 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.765272 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.768588 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.771529 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.792488 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.795797 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.799427 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.802870 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.806282 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.828375 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.842153 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.845905 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.850255 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.853610 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.857072 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.860489 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.863839 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.885736 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.889615 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.893055 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.933040 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.937955 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.944232 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.957445 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.961934 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.965838 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.969466 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.972985 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.986599 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.989947 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.993541 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:08.997099 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.001623 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.006665 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.011180 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.014971 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.018563 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.022289 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.026139 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.030132 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.033631 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.054745 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.058344 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.061694 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.065016 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.094580 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.108342 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.139621 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.145189 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.150313 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.155238 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.159265 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.162876 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.178361 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.182292 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.185814 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.195262 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.198665 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.202097 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.205284 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.208463 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.218022 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.221660 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.225235 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.230182 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.236034 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.243700 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.248043 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.251512 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.289870 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.295206 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.299448 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.304211 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.313689 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.317157 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.320791 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.336902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.340455 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.343843 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.347224 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.350859 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.354276 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.357615 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.360878 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.364186 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.367591 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.370823 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.388605 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.398191 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.407805 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.416774 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.447537 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.451026 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.454380 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.457751 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.461126 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.464739 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.478188 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.481849 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.506472 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.510011 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.521458 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.562007 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.565765 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.569715 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.575752 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.579237 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.582800 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.586099 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.608114 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.617295 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.620908 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.633984 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.637388 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.640927 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.644096 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.647571 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.650965 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.654139 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.657228 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.660479 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.663810 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.666944 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.670170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.673820 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.677191 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.690985 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.709991 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.714411 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.757736 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.761470 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.765824 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.769329 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.772712 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.776100 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.779682 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.782963 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.792534 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.796229 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.799595 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.802953 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.806600 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.810155 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.828525 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.834909 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.841656 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.866725 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.880411 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.883872 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:09.887470 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.380246 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.384031 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.387405 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.390568 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.393811 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.396743 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.399626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.402737 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.406118 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.409373 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.412671 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.416128 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.447284 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.450841 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.454134 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.457281 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.460178 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.463365 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.466651 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.469816 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.490312 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.499675 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.503104 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.506135 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.509262 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.512225 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:11.515477 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.859961 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.864102 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.867522 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.870930 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.874287 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.877806 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.881302 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.884607 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.887863 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.892759 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.896772 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.932880 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.936589 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.940176 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.943874 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.947355 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.952220 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.958549 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.962620 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.966130 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.969499 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.973399 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.977267 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.980696 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.984004 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.987146 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.990390 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.993551 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:12.996796 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.000497 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.003879 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.028940 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.032582 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.063237 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.072974 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.104979 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.108300 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.111386 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.137033 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.406627 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.410323 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.413556 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.416704 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.419942 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.423282 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.426612 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.429895 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.445829 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.460580 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.463783 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.466830 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.475552 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.479035 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.488554 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.535811 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.539295 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.542571 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.559621 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.563085 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.566620 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.570357 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.583740 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.586701 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.589771 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.615017 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.618582 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.621965 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.625557 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.629014 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.656193 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.662812 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.693506 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.697512 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.702372 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.727816 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.731411 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.735275 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.740318 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.747999 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.751750 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.755823 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.759222 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.762349 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.765438 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.785982 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.804029 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.807533 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.810772 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.813855 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.817081 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.838980 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.863186 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.889398 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.906575 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.910286 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.981549 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.985255 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.988542 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.991670 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:13.994682 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.044481 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.048154 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.052955 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.058163 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.063627 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.068251 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.071775 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.088352 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.092599 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.117514 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.121092 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.124291 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.127571 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.155845 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.160341 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.164247 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.167918 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.171631 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.176335 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.189753 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.194213 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.216233 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.219878 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.247578 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.251151 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.261777 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.298707 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.308323 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.311790 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.315256 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.318626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.325127 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.355377 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.372799 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.376256 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.379462 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.399880 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.403455 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.408412 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.413290 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.418487 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.429763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.433157 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.436530 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.440209 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.443695 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.447009 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.450441 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.476763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.480419 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.484207 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.487591 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.490741 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.493625 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.496446 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.499561 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:14.507075 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.650613 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.654544 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.657942 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.667723 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.717339 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.753307 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.756975 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.760371 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.764285 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.778933 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.782537 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.804883 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.808943 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.812377 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.815630 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.819078 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.845104 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.862405 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.865976 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.869420 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.914996 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.923331 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.926570 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.954534 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.957952 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.966401 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.989189 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:15.993260 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.010920 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.014562 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.017881 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.021469 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.024992 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.028378 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.031956 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.035501 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.039447 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.042986 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.046298 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.049777 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.053336 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.056737 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.060157 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.063496 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.066686 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.069981 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.073894 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.077928 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.083110 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.101417 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.106227 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.110207 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.113829 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.117427 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.127162 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.131602 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.137422 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.158755 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.162382 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.188891 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.192456 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.214292 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.218026 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.221681 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.225149 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.228744 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.232360 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.236602 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.240309 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.249967 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.253578 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.256854 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.278398 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.282218 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.286526 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.290588 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.300189 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.321446 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.325473 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.328968 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.332318 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.335642 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.340106 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.343753 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.347323 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.352087 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.356842 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.367917 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.832907 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.836878 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.875442 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.879554 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.894783 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.899507 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.915704 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.919184 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.922784 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.926071 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.929429 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.932909 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.954123 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.957621 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.966825 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.970100 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:16.973304 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.011782 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.015103 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.027839 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.031467 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.034857 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.038139 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.041603 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.044981 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.048582 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.075973 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.079706 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.084862 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.089626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.095576 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.100528 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.117537 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.121253 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.124716 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.128036 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.131693 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.145826 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.173878 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.177869 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.182114 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.185548 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.189032 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_205932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.214442 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.218230 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.222048 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.225720 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.252039 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.281569 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.286227 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.317684 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.321407 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.324940 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.328202 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.331767 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.335497 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.745440 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.755185 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.776521 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.782672 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.786555 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.789676 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.793015 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.796393 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.799882 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.803161 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.812605 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.815901 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.840858 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.844508 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.848793 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.852081 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.877747 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.901267 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.916739 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.936423 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.965641 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.990335 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:17.995961 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.001501 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.005629 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.017251 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.038846 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.061704 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.096615 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.122194 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.149516 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.176313 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.180294 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.208218 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.212166 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.216342 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.220590 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.224512 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.228221 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.255647 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.283870 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.293432 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.298568 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.328976 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.347272 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.385216 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.390526 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.395360 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.401503 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219252) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.424666 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.428475 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.432905 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.437021 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.441464 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.468777 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.472658 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.498170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.560678 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.564279 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.569800 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.573055 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.580288 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.583390 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.589074 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.618865 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.676215 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.698539 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.720730 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.724510 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.728030 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.731840 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.735733 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.741803 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.757672 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.778858 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.809658 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.812978 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.816548 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.820338 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.846379 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.868192 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.873206 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.902956 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.908740 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.913902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.918790 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217002) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.925950 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.930484 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.935316 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.949949 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.954042 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.957440 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.960884 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.964178 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.991885 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.996299 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:18.999917 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.003411 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.030101 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.033831 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.037510 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.040903 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.044373 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.075994 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.118130 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.152720 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.156132 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.183839 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.195557 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.208549 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.211677 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.214920 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.219161 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.222868 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.226444 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.230100 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.233811 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.238306 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.271070 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.276725 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.289636 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.293103 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.297010 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.322201 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.325738 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.347548 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.387200 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.398613 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.432085 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.435412 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.438698 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.441800 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.444714 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.447696 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.450798 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.456239 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.482051 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.589859 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.594902 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.656869 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.660279 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.673463 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212652) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.677351 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.680887 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.708299 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.713903 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.718492 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.722109 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.725678 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.752430 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.756621 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.760170 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.763517 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.858235 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.861827 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.865223 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.868754 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.882656 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.886180 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210112) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.931889 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.945642 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.949256 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.952525 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:19.955875 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.058701 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.062221 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.161660 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.187965 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.213473 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.217771 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220832) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.221216 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.253943 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.257847 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.284482 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.376671 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219942) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.380404 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.383812 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.386985 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.390215 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.398900 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.402706 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.405975 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.419350 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218602) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.423054 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.445380 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.449004 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.452284 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.455751 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.458857 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.465581 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.468689 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.471742 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.474627 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.477546 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.480571 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.509932 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.514380 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.535500 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.538988 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.543703 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.576017 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.579215 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.582411 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.585538 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.588627 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.591545 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.625960 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.714346 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.736800 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.764368 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214742) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.767977 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.771270 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.796850 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.800310 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.899358 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.903876 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.952116 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.955687 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.959070 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:20.984297 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.016969 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.049997 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.133502 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.137189 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.167459 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.170924 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.186705 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.299217 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.330720 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.356075 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209122) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.382363 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215012) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.385750 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.416228 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.431223 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.436017 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.440994 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.445937 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.449652 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.453093 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.456395 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.459859 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.463176 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.484573 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209632) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.945703 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.949088 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.995489 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:21.998567 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.001747 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.004735 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.026091 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.047724 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.136078 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.139456 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.168763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.171998 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.174903 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.199324 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.202543 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.205558 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.219938 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.320815 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.357006 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.360630 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.382521 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.386183 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.411787 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.447109 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.471663 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209522) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.475990 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.479561 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208322) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.505694 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.509307 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.512812 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.672244 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.698368 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.702395 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.815166 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.819513 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209332) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.842743 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.876266 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.969275 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:22.986627 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.088651 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.123626 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.131126 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.135137 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.161439 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220382) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.164948 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.188970 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.192306 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208092) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.195322 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.198230 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211432) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.246809 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.250227 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:23.341490 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.658573 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.663973 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.686860 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.690590 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.693896 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.719719 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.742932 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.746504 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:24.749776 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.084220 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.088300 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.110897 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219262) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.114678 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.118265 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.146471 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213402) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.150151 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.176784 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.206919 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.210271 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.299243 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.320614 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.348356 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206622) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.382872 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.386180 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.389336 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218922) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.392680 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.486292 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207532) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.523798 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214502) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.533243 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216272) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.538197 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211802) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.618787 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214592) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.622276 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211722) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.666480 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.686309 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.728825 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_221542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.734832 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.739776 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.780561 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.783869 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209222) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.807218 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.810728 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.836889 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210872) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.868515 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209512) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.889692 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.920125 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.923770 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219492) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.927197 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208062) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.955945 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:25.959595 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213052) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.037004 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.076018 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.102079 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.109168 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.299429 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.303213 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206202) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.324830 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.328349 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.400985 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214162) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.481688 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216812) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.485085 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.509008 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.569974 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220452) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.573508 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.576708 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206992) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.600915 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.632478 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.645693 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.650224 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.761604 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210882) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.789531 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215792) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.793088 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210042) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.814680 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.905212 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213442) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.909891 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_209662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.937836 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207892) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:26.964494 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211562) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.357815 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_219372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.361330 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220242) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.364870 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212732) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.479242 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.501867 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.523820 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.622606 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218132) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.626303 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.736762 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.742841 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216662) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.746523 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210192) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.773837 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208372) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.794400 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.797803 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213412) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.883451 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208962) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:27.912292 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_220902) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.534716 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.563454 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216232) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.566780 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.601331 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_217982) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.604281 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215712) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.607264 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215682) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.610337 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218102) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.613186 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.655866 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213482) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.772805 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.835780 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214782) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.927375 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.947834 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208362) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:31.969461 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.001708 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.025838 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218552) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.029020 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.049427 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.070763 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215752) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.074252 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.095528 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.120349 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206312) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.145288 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.166167 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.194713 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206702) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:32.215944 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_216342) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:33.844275 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_212772) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:33.957591 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215032) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:33.961204 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214672) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:34.044854 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_218152) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:35.419019 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214292) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:35.505406 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206352) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:35.545868 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:35.549408 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213862) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.036015 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208852) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.064692 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206182) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.091268 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_210542) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.112746 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206762) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.136169 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206972) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.162342 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211142) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.182882 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215912) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.186331 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_213612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.272706 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_211472) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:37.299903 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207422) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:40.093797 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_215612) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:41.648584 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_206282) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:41.870301 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214952) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:41.911100 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_207392) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:41.938111 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_214842) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "W1221 18:17:41.996572 140086576433024 function_deserialization.py:611] Importing a function (__inference_internal_grad_fn_208572) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
            "2022-12-21 18:17:53.603566: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:363] Ignored output_format.\n",
            "2022-12-21 18:17:53.603644: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:366] Ignored drop_control_dependency.\n",
            "W1221 18:18:06.386931 140086576433024 util.py:822] For model outputs containing unsupported operations which cannot be quantized, the `inference_output_type` attribute will default to the original type.\n",
            "I1221 18:18:06.924709 140086576433024 export_tflite.py:119] TFLite model converted and saved to /content/mobilenetv2_ssd_i256_qat_tflite.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Run Inference\n",
        "\n",
        "Now we will show how to use the converted TFLite model to do inference and obtain detection results. We provide our converted TFLite model that can be directly used for this."
      ],
      "metadata": {
        "id": "Th_BzrD5eoPp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# First download the TFLite model.\n",
        "! curl https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/model_int8_qat.tflite --output model.tflite"
      ],
      "metadata": {
        "id": "ufltjgUHnae1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b63ad6d3-9212-437d-fd60-a2271e7f7e20"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100 3386k  100 3386k    0     0  7329k      0 --:--:-- --:--:-- --:--:-- 7329k\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Defines helper function to download sample image.\n",
        "def load_image_into_numpy_array(path, height, width):\n",
        "  \"\"\"Load an image from file into a numpy array.\n",
        "\n",
        "  Puts image into numpy array to feed into tensorflow graph.\n",
        "  Note that by convention we put it into a numpy array with shape\n",
        "  (height, width, channels), where channels=3 for RGB.\n",
        "\n",
        "  Args:\n",
        "    path: the file path to the image\n",
        "\n",
        "  Returns:\n",
        "    uint8 numpy array with shape (height, width, 3)\n",
        "  \"\"\"\n",
        "  image = None\n",
        "  if(path.startswith('http')):\n",
        "    response = urlopen(path)\n",
        "    image_data = response.read()\n",
        "    image_data = BytesIO(image_data)\n",
        "    image = Image.open(image_data)\n",
        "  else:\n",
        "    image_data = tf.io.gfile.GFile(path, 'rb').read()\n",
        "    image = Image.open(BytesIO(image_data))\n",
        "\n",
        "  (im_width, im_height) = image.size\n",
        "  image = image.resize((height, width))\n",
        "\n",
        "  image = np.array(image.getdata()).reshape(\n",
        "      (1, height, width, 3)).astype(np.uint8)\n",
        "\n",
        "  return image"
      ],
      "metadata": {
        "id": "X8ACyzMDdDR7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download a Sample Image"
      ],
      "metadata": {
        "id": "n3BXyYune5p6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "image_path = \"https://djl.ai/examples/src/test/resources/dog_bike_car.jpg\"\n",
        "image_array = load_image_into_numpy_array(image_path, 256, 256)\n",
        "image_array.shape"
      ],
      "metadata": {
        "id": "D7KLJpIGdDVs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "163b84a5-6456-49c0-dd64-23903779432c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 256, 256, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Image.fromarray(image_array[0])"
      ],
      "metadata": {
        "id": "u2eMxCEfe83m",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "outputId": "49a74fb0-6af4-42bb-da71-b63d1cf94a45"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=256x256 at 0x7F67B6D752B0>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Run Inference on Sample Image"
      ],
      "metadata": {
        "id": "gn99qmZAf75S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load TFLite model.\n",
        "tflite_path = 'model.tflite'\n",
        "\n",
        "with tf.io.gfile.GFile(tflite_path, 'rb') as f:\n",
        "  tflite_model = f.read()\n",
        "\n",
        "interpreter = tf.lite.Interpreter(model_content=tflite_model)\n",
        "interpreter.allocate_tensors()\n",
        "\n",
        "input_details = interpreter.get_input_details()\n",
        "output_details = interpreter.get_output_details()\n",
        "interpreter.set_tensor(input_details[0]['index'], image_array)\n",
        "\n",
        "interpreter.invoke()\n",
        "\n",
        "# The function `get_tensor()` returns a copy of the tensor data.\n",
        "# Use `tensor()` in order to get a pointer to the tensor.\n",
        "outputs = []\n",
        "for i in range(len(output_details)):\n",
        "  outputs.append(interpreter.get_tensor(output_details[i]['index']))"
      ],
      "metadata": {
        "id": "gDdehkLeNeqz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# The final outputs is a list of [detection_boxes, num_detections, detection_scores, detection_classes, image_info].\n",
        "outputs"
      ],
      "metadata": {
        "id": "lR-TaAFaoUV_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1779640d-bd7e-4ede-bd44-3bd2d1b56fb0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array([[[ 1.06062141e+02,  3.99226303e+01,  2.37835205e+02,\n",
              "           1.03872078e+02],\n",
              "         [ 3.33423462e+01,  1.52555298e+02,  7.61054840e+01,\n",
              "           2.30757751e+02],\n",
              "         [ 5.80201950e+01,  5.14244308e+01,  1.93264526e+02,\n",
              "           1.90765381e+02],\n",
              "         [ 3.17780743e+01,  1.97641087e+01,  5.62219238e+01,\n",
              "           3.72487183e+01],\n",
              "         [ 3.46833572e+01,  1.89357872e+01,  5.47490005e+01,\n",
              "           2.96583672e+01],\n",
              "         [ 4.58791046e+01,  1.97192001e+01,  2.30809067e+02,\n",
              "           2.28094421e+02],\n",
              "         [ 7.44852142e+01,  3.73519745e+01,  2.39239090e+02,\n",
              "           1.48372314e+02],\n",
              "         [ 4.89471016e+01,  2.19980789e+02,  6.96205444e+01,\n",
              "           2.38883926e+02],\n",
              "         [ 6.08561096e+01,  4.66774597e+01,  9.56913452e+01,\n",
              "           8.47750854e+01],\n",
              "         [ 5.58034134e+00,  5.37203522e+01,  9.11066132e+01,\n",
              "           1.00488342e+02],\n",
              "         [ 3.71521416e+01,  2.12559471e+01,  4.48743706e+01,\n",
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              "           2.02398117e+02],\n",
              "         [ 3.14057674e+01,  1.68498611e+01,  7.25942307e+01,\n",
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              "         [ 2.89923038e+01,  2.71423073e+01,  5.16018524e+01,\n",
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              "           2.09158875e+02],\n",
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              "           2.54852463e+02],\n",
              "         [-6.53881073e-01,  5.67382431e+01,  8.52013397e+01,\n",
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              "           2.32923782e+02],\n",
              "         [ 4.48982162e+01,  1.91046005e+02,  7.34940186e+01,\n",
              "           2.36091843e+02],\n",
              "         [ 1.93680325e+01,  1.21709106e+02,  6.42412872e+01,\n",
              "           1.78681580e+02],\n",
              "         [ 4.34505081e+00,  2.19482620e+02,  1.26698425e+02,\n",
              "           2.52173904e+02],\n",
              "         [ 6.50462646e+01,  4.61425095e+01,  1.48058075e+02,\n",
              "           9.02009659e+01],\n",
              "         [ 1.28264740e+02, -2.90789032e+00,  2.50982025e+02,\n",
              "           1.94907898e+02],\n",
              "         [ 2.55440331e+01,  1.87228508e+01,  5.55508766e+01,\n",
              "           4.87296944e+01],\n",
              "         [ 4.29371147e+01,  1.29693497e+02,  4.93195000e+01,\n",
              "           1.35319321e+02],\n",
              "         [ 4.99539413e+01,  2.33106995e+02,  5.83026733e+01,\n",
              "           2.40918671e+02],\n",
              "         [ 3.91108551e+01,  1.67909088e+01,  5.88121567e+01,\n",
              "           4.12347527e+01],\n",
              "         [ 4.56910324e+01,  2.26641602e+02,  6.40384064e+01,\n",
              "           2.43926025e+02],\n",
              "         [ 4.21584091e+01,  2.25309219e+02,  7.20502853e+01,\n",
              "           2.46690781e+02],\n",
              "         [ 5.83352318e+01,  2.14019638e+02,  7.17930832e+01,\n",
              "           2.26993179e+02],\n",
              "         [ 4.61224594e+01,  2.10781815e+02,  7.38775406e+01,\n",
              "           2.45218185e+02],\n",
              "         [ 1.85833035e+01,  1.18999054e+02,  6.78477707e+01,\n",
              "           2.23587372e+02],\n",
              "         [ 6.29499054e+00,  2.28007355e+02,  2.02015747e+02,\n",
              "           2.55130493e+02],\n",
              "         [ 8.46007690e+01,  1.32339249e+01,  1.74692444e+02,\n",
              "           7.96282196e+01],\n",
              "         [ 2.83830490e+01,  1.60392761e+01,  4.86811066e+01,\n",
              "           4.19863853e+01],\n",
              "         [ 4.23666039e+01,  1.46869293e+02,  4.78643532e+01,\n",
              "           1.52169189e+02],\n",
              "         [ 2.81077156e+01,  1.56691101e+02,  4.79436073e+01,\n",
              "           1.69283234e+02],\n",
              "         [ 1.06909409e+02,  1.14706993e-01,  1.79521652e+02,\n",
              "           2.54930611e+01],\n",
              "         [ 1.45406113e+01,  1.67513275e+02,  7.45542984e+01,\n",
              "           2.50844360e+02],\n",
              "         [ 2.01761017e+01,  2.11647606e+01,  9.63713531e+01,\n",
              "           9.08352356e+01],\n",
              "         [ 7.29417725e+01,  3.81889153e+01,  1.85248047e+02,\n",
              "           1.05811081e+02],\n",
              "         [ 1.11883369e+02,  2.16834534e+02,  2.36978790e+02,\n",
              "           2.56812073e+02],\n",
              "         [-1.84612274e-01,  2.67456284e+01,  9.61846161e+01,\n",
              "           1.74089142e+02],\n",
              "         [ 4.36148262e+01,  1.69856461e+02,  4.86417885e+01,\n",
              "           1.75156357e+02],\n",
              "         [ 4.24236183e+01,  1.93141953e+02,  4.98329964e+01,\n",
              "           1.99870865e+02],\n",
              "         [ 4.32086182e+01,  2.01430054e+02,  5.10736618e+01,\n",
              "           2.07582764e+02],\n",
              "         [ 5.40823860e+01,  2.22546677e+02,  7.47558289e+01,\n",
              "           2.45156235e+02],\n",
              "         [ 4.76513481e+01,  2.37343201e+02,  1.14557343e+02,\n",
              "           2.55761139e+02],\n",
              "         [ 1.07118378e+02,  3.94208450e+01,  1.69666077e+02,\n",
              "           7.26179962e+01],\n",
              "         [ 3.05676422e+01,  2.16517334e+02,  7.85676422e+01,\n",
              "           2.53212097e+02],\n",
              "         [ 5.05019989e+01,  5.75438004e+01,  9.06332855e+01,\n",
              "           1.04132607e+02],\n",
              "         [ 1.55681335e+02,  1.77642731e+02,  2.54589233e+02,\n",
              "           2.55545563e+02],\n",
              "         [ 3.34228935e+01,  1.91442375e+01,  4.36412621e+01,\n",
              "           3.30097275e+01],\n",
              "         [ 4.09411125e+01,  1.22797295e+02,  4.92898445e+01,\n",
              "           1.27228371e+02],\n",
              "         [ 4.43922653e+01,  1.56731995e+02,  4.98900146e+01,\n",
              "           1.62357819e+02],\n",
              "         [ 4.24254799e+01,  1.60734451e+02,  5.36771660e+01,\n",
              "           1.67265549e+02],\n",
              "         [ 4.63862305e+01,  2.08533630e+02,  5.57934036e+01,\n",
              "           2.15466370e+02],\n",
              "         [ 4.98276215e+01,  2.17040039e+02,  5.64033356e+01,\n",
              "           2.23972778e+02],\n",
              "         [ 3.86769180e+01,  2.25027588e+02,  5.64848785e+01,\n",
              "           2.46972412e+02],\n",
              "         [ 4.89842186e+01,  2.40763367e+02,  5.92723961e+01,\n",
              "           2.46223816e+02],\n",
              "         [ 2.92078056e+01,  2.53186157e+02,  1.05177109e+02,\n",
              "           2.56890839e+02],\n",
              "         [ 3.38526840e+01,  1.96612396e+01,  8.93628540e+01,\n",
              "           4.91232224e+01],\n",
              "         [ 4.46160049e+01,  7.77583923e+01,  9.13839951e+01,\n",
              "           9.73090057e+01],\n",
              "         [ 9.73159485e+01,  6.98130798e+01,  1.41037445e+02,\n",
              "           1.03010223e+02],\n",
              "         [ 2.07002075e+02,  4.82017288e+01,  2.39819122e+02,\n",
              "           9.24296341e+01],\n",
              "         [ 8.73469925e+00,  2.08183563e+02,  7.48746185e+01,\n",
              "           2.55816437e+02],\n",
              "         [ 5.24328232e+00,  7.11837959e+00,  1.06756714e+02,\n",
              "           6.96660843e+01],\n",
              "         [ 7.88083954e+01,  2.17992599e+02,  1.93191605e+02,\n",
              "           2.55654007e+02],\n",
              "         [ 1.05052139e+02,  2.34384880e+01,  1.98947861e+02,\n",
              "           9.31089630e+01],\n",
              "         [ 2.27988815e+01,  9.83052063e+00,  2.14063263e+02,\n",
              "           1.05462700e+02],\n",
              "         [ 9.54042816e+01,  1.05430603e+00,  1.97700058e+02,\n",
              "           1.35780472e+02],\n",
              "         [ 4.27733917e+01,  2.20528381e+02,  5.38207626e+01,\n",
              "           2.38336334e+02],\n",
              "         [ 3.36835365e+01,  2.14658142e+02,  5.97304420e+01,\n",
              "           2.46755829e+02],\n",
              "         [ 3.59260406e+01,  1.87410698e+01,  6.60482941e+01,\n",
              "           2.63230820e+01],\n",
              "         [ 4.21795197e+01,  2.01985092e+01,  5.89557648e+01,\n",
              "           2.83956451e+01],\n",
              "         [ 4.84506264e+01,  2.39215210e+02,  6.77033463e+01,\n",
              "           2.45746307e+02],\n",
              "         [ 7.02042618e+01,  6.32016373e+01,  9.34986649e+01,\n",
              "           8.45012894e+01],\n",
              "         [ 1.38511826e+02,  1.07008301e+02,  1.61539505e+02,\n",
              "           1.23978867e+02],\n",
              "         [ 1.15022446e+02,  1.99184158e+02,  1.88977554e+02,\n",
              "           2.55720932e+02],\n",
              "         [ 5.58068085e+01,  1.32803238e+02,  1.76295837e+02,\n",
              "           2.07042801e+02],\n",
              "         [ 2.85206337e+01,  2.44100628e+01,  4.36846581e+01,\n",
              "           3.46284256e+01],\n",
              "         [ 3.15243740e+01,  2.91521416e+01,  3.87992096e+01,\n",
              "           3.68743706e+01],\n",
              "         [ 3.84787064e+01,  1.87677402e+01,  5.38183670e+01,\n",
              "           2.38529263e+01],\n",
              "         [ 4.91354561e+01,  1.36482269e+02,  5.91211586e+01,\n",
              "           1.44530548e+02]]], dtype=float32),\n",
              " array([100.], dtype=float32),\n",
              " array([[0.7578125 , 0.62890625, 0.578125  , 0.2421875 , 0.203125  ,\n",
              "         0.1875    , 0.14453125, 0.12109375, 0.109375  , 0.1015625 ,\n",
              "         0.08984375, 0.08984375, 0.08984375, 0.08203125, 0.07421875,\n",
              "         0.07421875, 0.07421875, 0.07421875, 0.06640625, 0.06640625,\n",
              "         0.06640625, 0.06640625, 0.06640625, 0.06640625, 0.06640625,\n",
              "         0.06640625, 0.0625    , 0.0625    , 0.0625    , 0.0625    ,\n",
              "         0.0625    , 0.0546875 , 0.0546875 , 0.0546875 , 0.0546875 ,\n",
              "         0.0546875 , 0.0546875 , 0.0546875 , 0.0546875 , 0.05078125,\n",
              "         0.05078125, 0.05078125, 0.05078125, 0.05078125, 0.05078125,\n",
              "         0.05078125, 0.05078125, 0.05078125, 0.05078125, 0.05078125,\n",
              "         0.046875  , 0.046875  , 0.046875  , 0.046875  , 0.046875  ,\n",
              "         0.046875  , 0.046875  , 0.046875  , 0.046875  , 0.04296875,\n",
              "         0.04296875, 0.04296875, 0.04296875, 0.04296875, 0.04296875,\n",
              "         0.04296875, 0.04296875, 0.04296875, 0.0390625 , 0.0390625 ,\n",
              "         0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 ,\n",
              "         0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 ,\n",
              "         0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 , 0.0390625 ,\n",
              "         0.0390625 , 0.0390625 , 0.03515625, 0.03515625, 0.03515625,\n",
              "         0.03515625, 0.03515625, 0.03515625, 0.03515625, 0.03515625,\n",
              "         0.03515625, 0.03125   , 0.03125   , 0.03125   , 0.03125   ]],\n",
              "       dtype=float32),\n",
              " array([[18.,  8.,  2.,  1.,  1.,  2., 18.,  3.,  2., 64.,  1., 62., 18.,\n",
              "          8., 64.,  3.,  1.,  1., 10.,  1.,  1., 64., 64.,  2., 64., 62.,\n",
              "          1.,  1.,  3.,  3., 64.,  1.,  1.,  3.,  3.,  8., 64., 62.,  2.,\n",
              "         64.,  1.,  3., 64.,  3., 64.,  3.,  3.,  8.,  1., 62.,  1.,  1.,\n",
              "          1., 70.,  8., 64., 18., 15., 64.,  1.,  1.,  1.,  3.,  3., 62.,\n",
              "          3., 64., 62.,  1.,  1.,  1.,  1.,  1.,  3.,  3.,  3.,  1., 64.,\n",
              "         64., 18., 17., 64., 64., 15., 18., 18., 18.,  3., 64.,  1.,  1.,\n",
              "          1.,  2., 44., 15.,  2.,  1.,  1.,  1., 64.]], dtype=float32),\n",
              " array([[[256., 256.],\n",
              "         [256., 256.],\n",
              "         [  1.,   1.],\n",
              "         [  0.,   0.]]], dtype=float32)]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Visualize Detection Outputs"
      ],
      "metadata": {
        "id": "Pkxpgrjod9jB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.imshow(Image.fromarray(image_array[0]))\n",
        "\n",
        "scores = outputs[2]\n",
        "num_detection = outputs[1]\n",
        "boxes = outputs[0]\n",
        "classes = outputs[3]\n",
        "\n",
        "# We only show boxes that have detection score larger than 0.5.\n",
        "threshold = 0.5\n",
        "\n",
        "for i in range(int(num_detection[0])):\n",
        "  if scores[0, i] > threshold:\n",
        "    ax = plt.gca()\n",
        "    rect = patches.Rectangle((boxes[0, i, 1], boxes[0, i, 0]), boxes[0, i, 3] - boxes[0, i, 1], boxes[0, i, 2] - boxes[0, i, 0], linewidth=1,edgecolor='r',facecolor='none')\n",
        "    ax.add_patch(rect)"
      ],
      "metadata": {
        "id": "TpzoZOJ_u1dw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "2cd2995d-9483-46af-b7e3-a734229940a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}